… predicting gene function, as genes … co-expression analysis remains a prominent tool
for exploratory systemic evaluation, largely because it is capable of considering gene co-expression …

… gene lists. Recent attempts have been made to analyze gene co-expression networks to
detect key genes, … These modules are often strongly enriched for distinct functional categories, …

… disease were identified using weighted gene co-expression network analysis (WGCNA). …
intelligence medicine to assistant disease risk prediction and disease diagnosis based on small …

… of co-expression network analysis with the human interactome network to predict novel
putative disease genes and … , we exploited the SWIM software, a program for gene co-expression …

… may be functionally related. Weighted gene co-expression network analysis (WGCNA) is an
open source tool to perform co-expression analysis based on the theory. WGCNA integrates …

… matrix of the gene co-expression, adjacency function, and the … and more biologically
significant co-expression modules [40]. A … or disease can be extracted from these co-expression …

… , the effectiveness of prediction might reflect the … gene co-expression network analysis (WGCNA)
in conjunction with differentially expressed gene (DEG) analysis to select the key genes …

… cancer-stage prediction. Our own analyses have discovered that co-expression patterns are
… published studies that predict cancer stages using co-expression patterns of cancer tissues. …

… complexity of predicting expression levels of 15 … co-expression. Transcripts were assigned
to clusters only based on the development data in order to preserve independence of the test …

… gene co-expression sub-networks have been shown to contain valuable information for
predicting gene-… Here, we aim to leverage tissue-specific gene co-expression networks to infer …